gsd-2022-35964
Vulnerability from gsd
Modified
2023-12-13 01:19
Details
TensorFlow is an open source platform for machine learning. The implementation of `BlockLSTMGradV2` does not fully validate its inputs. This results in a a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 2a458fc4866505be27c62f81474ecb2b870498fa. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.
Aliases
Aliases
{ "GSD": { "alias": "CVE-2022-35964", "description": "TensorFlow is an open source platform for machine learning. The implementation of `BlockLSTMGradV2` does not fully validate its inputs. This results in a a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 2a458fc4866505be27c62f81474ecb2b870498fa. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.", "id": "GSD-2022-35964", "references": [ "https://www.suse.com/security/cve/CVE-2022-35964.html" ] }, "gsd": { "metadata": { "exploitCode": "unknown", "remediation": "unknown", "reportConfidence": "confirmed", "type": "vulnerability" }, "osvSchema": { "aliases": [ "CVE-2022-35964" ], "details": "TensorFlow is an open source platform for machine learning. The implementation of `BlockLSTMGradV2` does not fully validate its inputs. This results in a a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 2a458fc4866505be27c62f81474ecb2b870498fa. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.", "id": "GSD-2022-35964", "modified": "2023-12-13T01:19:33.640722Z", "schema_version": "1.4.0" } }, "namespaces": { "cve.org": { "CVE_data_meta": { "ASSIGNER": "security-advisories@github.com", "ID": "CVE-2022-35964", "STATE": "PUBLIC", "TITLE": "Segfault in `BlockLSTMGradV2` in TensorFlow" }, "affects": { "vendor": { "vendor_data": [ { "product": { "product_data": [ { "product_name": "tensorflow", "version": { "version_data": [ { "version_value": "\u003c 2.7.2" }, { "version_value": "\u003e= 2.8.0, \u003c 2.8.1" }, { "version_value": "\u003e= 2.9.0, \u003c 2.9.1" } ] } } ] }, "vendor_name": "tensorflow" } ] } }, "data_format": "MITRE", "data_type": "CVE", "data_version": "4.0", "description": { "description_data": [ { "lang": "eng", "value": "TensorFlow is an open source platform for machine learning. The implementation of `BlockLSTMGradV2` does not fully validate its inputs. This results in a a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 2a458fc4866505be27c62f81474ecb2b870498fa. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue." } ] }, "impact": { "cvss": { "attackComplexity": "HIGH", "attackVector": "NETWORK", "availabilityImpact": "HIGH", "baseScore": 5.9, "baseSeverity": "MEDIUM", "confidentialityImpact": "NONE", "integrityImpact": "NONE", "privilegesRequired": "NONE", "scope": "UNCHANGED", "userInteraction": "NONE", "vectorString": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H", "version": "3.1" } }, "problemtype": { "problemtype_data": [ { "description": [ { "lang": "eng", "value": "CWE-20: Improper Input Validation" } ] } ] }, "references": { "reference_data": [ { "name": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-f7r5-q7cx-h668", "refsource": "CONFIRM", "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-f7r5-q7cx-h668" }, { "name": "https://github.com/tensorflow/tensorflow/commit/2a458fc4866505be27c62f81474ecb2b870498fa", "refsource": "MISC", "url": "https://github.com/tensorflow/tensorflow/commit/2a458fc4866505be27c62f81474ecb2b870498fa" } ] }, "source": { "advisory": "GHSA-f7r5-q7cx-h668", "discovery": "UNKNOWN" } }, "gitlab.com": { "advisories": [ { "affected_range": "\u003c2.7.2||\u003e=2.8.0,\u003c2.8.1||\u003e=2.9.0,\u003c2.9.1", "affected_versions": "All versions before 2.7.2, all versions starting from 2.8.0 before 2.8.1, all versions starting from 2.9.0 before 2.9.1", "cwe_ids": [ "CWE-1035", "CWE-20", "CWE-937" ], "date": "2022-09-16", "description": "TensorFlow is an open source platform for machine learning. The implementation of `BlockLSTMGradV2` does not fully validate its inputs. This results in a a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 2a458fc4866505be27c62f81474ecb2b870498fa. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.", "fixed_versions": [ "2.7.2", "2.8.1", "2.9.1" ], "identifier": "CVE-2022-35964", "identifiers": [ "GHSA-f7r5-q7cx-h668", "CVE-2022-35964" ], "not_impacted": "All versions starting from 2.7.2 before 2.8.0, all versions starting from 2.8.1 before 2.9.0, all versions starting from 2.9.1", "package_slug": "pypi/tensorflow-cpu", "pubdate": "2022-09-16", "solution": "Upgrade to versions 2.7.2, 2.8.1, 2.9.1 or above.", "title": "Improper Input Validation", "urls": [ "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-f7r5-q7cx-h668", "https://github.com/tensorflow/tensorflow/commit/2a458fc4866505be27c62f81474ecb2b870498fa", "https://github.com/tensorflow/tensorflow/releases/tag/v2.10.0", "https://github.com/advisories/GHSA-f7r5-q7cx-h668" ], "uuid": "0586ad75-7104-499b-95d8-462e45bc3554" }, { "affected_range": "\u003c2.7.2||\u003e=2.8.0,\u003c2.8.1||\u003e=2.9.0,\u003c2.9.1", "affected_versions": "All versions before 2.7.2, all versions starting from 2.8.0 before 2.8.1, all versions starting from 2.9.0 before 2.9.1", "cwe_ids": [ "CWE-1035", "CWE-20", "CWE-937" ], "date": "2022-09-16", "description": "TensorFlow is an open source platform for machine learning. The implementation of `BlockLSTMGradV2` does not fully validate its inputs. This results in a a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 2a458fc4866505be27c62f81474ecb2b870498fa. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.", "fixed_versions": [ "2.7.2", "2.8.1", "2.9.1" ], "identifier": "CVE-2022-35964", "identifiers": [ "GHSA-f7r5-q7cx-h668", "CVE-2022-35964" ], "not_impacted": "All versions starting from 2.7.2 before 2.8.0, all versions starting from 2.8.1 before 2.9.0, all versions starting from 2.9.1", "package_slug": "pypi/tensorflow-gpu", "pubdate": "2022-09-16", "solution": "Upgrade to versions 2.7.2, 2.8.1, 2.9.1 or above.", "title": "Improper Input Validation", "urls": [ "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-f7r5-q7cx-h668", "https://github.com/tensorflow/tensorflow/commit/2a458fc4866505be27c62f81474ecb2b870498fa", "https://github.com/tensorflow/tensorflow/releases/tag/v2.10.0", "https://github.com/advisories/GHSA-f7r5-q7cx-h668" ], "uuid": "4f479cfe-a4d3-4a45-a45a-b8cdc36d3346" }, { "affected_range": "\u003e=2.7.0,\u003c2.7.2||\u003e=2.8.0,\u003c2.8.1||\u003e=2.9.0,\u003c2.9.1||==2.10", "affected_versions": "All versions starting from 2.7.0 before 2.7.2, all versions starting from 2.8.0 before 2.8.1, all versions starting from 2.9.0 before 2.9.1, version 2.10", "cvss_v3": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H", "cwe_ids": [ "CWE-1035", "CWE-937" ], "date": "2022-09-20", "description": "TensorFlow is an open source platform for machine learning. The implementation of `BlockLSTMGradV2` does not fully validate its inputs. This results in a a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 2a458fc4866505be27c62f81474ecb2b870498fa. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.", "fixed_versions": [ "2.7.2", "2.8.1", "2.9.1" ], "identifier": "CVE-2022-35964", "identifiers": [ "CVE-2022-35964", "GHSA-f7r5-q7cx-h668" ], "not_impacted": "All versions before 2.7.0, all versions starting from 2.7.2 before 2.8.0, all versions starting from 2.8.1 before 2.9.0, all versions starting from 2.9.1 before 2.10, all versions after 2.10", "package_slug": "pypi/tensorflow", "pubdate": "2022-09-16", "solution": "Upgrade to versions 2.7.2, 2.8.1, 2.9.1 or above.", "title": "Improper Input Validation", "urls": [ "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-f7r5-q7cx-h668", "https://github.com/tensorflow/tensorflow/commit/2a458fc4866505be27c62f81474ecb2b870498fa", "https://github.com/tensorflow/tensorflow/releases/tag/v2.10.0", "https://github.com/advisories/GHSA-f7r5-q7cx-h668" ], "uuid": "4b7c2ea0-5318-4b94-ab58-10319da7b6d7" } ] }, "nvd.nist.gov": { "configurations": { "CVE_data_version": "4.0", "nodes": [ { "children": [], "cpe_match": [ { "cpe23Uri": "cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*", "cpe_name": [], "versionEndExcluding": "2.7.2", "versionStartIncluding": "2.7.0", "vulnerable": true }, { "cpe23Uri": "cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*", "cpe_name": [], "versionEndExcluding": "2.8.1", "versionStartIncluding": "2.8.0", "vulnerable": true }, { "cpe23Uri": "cpe:2.3:a:google:tensorflow:2.10:rc1:*:*:*:*:*:*", "cpe_name": [], "vulnerable": true }, { "cpe23Uri": "cpe:2.3:a:google:tensorflow:2.10:rc2:*:*:*:*:*:*", "cpe_name": [], "vulnerable": true }, { "cpe23Uri": "cpe:2.3:a:google:tensorflow:2.10:rc3:*:*:*:*:*:*", "cpe_name": [], "vulnerable": true }, { "cpe23Uri": "cpe:2.3:a:google:tensorflow:2.10:rc0:*:*:*:*:*:*", "cpe_name": [], "vulnerable": true }, { "cpe23Uri": "cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*", "cpe_name": [], "versionEndExcluding": "2.9.1", "versionStartIncluding": "2.9.0", "vulnerable": true } ], "operator": "OR" } ] }, "cve": { "CVE_data_meta": { "ASSIGNER": "security-advisories@github.com", "ID": "CVE-2022-35964" }, "data_format": "MITRE", "data_type": "CVE", "data_version": "4.0", "description": { "description_data": [ { "lang": "en", "value": "TensorFlow is an open source platform for machine learning. The implementation of `BlockLSTMGradV2` does not fully validate its inputs. This results in a a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 2a458fc4866505be27c62f81474ecb2b870498fa. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue." } ] }, "problemtype": { "problemtype_data": [ { "description": [ { "lang": "en", "value": "NVD-CWE-noinfo" } ] } ] }, "references": { "reference_data": [ { "name": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-f7r5-q7cx-h668", "refsource": "CONFIRM", "tags": [ "Patch", "Third Party Advisory" ], "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-f7r5-q7cx-h668" }, { "name": "https://github.com/tensorflow/tensorflow/commit/2a458fc4866505be27c62f81474ecb2b870498fa", "refsource": "MISC", "tags": [ "Patch", "Third Party Advisory" ], "url": "https://github.com/tensorflow/tensorflow/commit/2a458fc4866505be27c62f81474ecb2b870498fa" } ] } }, "impact": { "baseMetricV3": { "cvssV3": { "attackComplexity": "LOW", "attackVector": "NETWORK", "availabilityImpact": "HIGH", "baseScore": 7.5, "baseSeverity": "HIGH", "confidentialityImpact": "NONE", "integrityImpact": "NONE", "privilegesRequired": "NONE", "scope": "UNCHANGED", "userInteraction": "NONE", "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H", "version": "3.1" }, "exploitabilityScore": 3.9, "impactScore": 3.6 } }, "lastModifiedDate": "2022-09-20T20:09Z", "publishedDate": "2022-09-16T21:15Z" } } }
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Sightings
Author | Source | Type | Date |
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Nomenclature
- Seen: The vulnerability was mentioned, discussed, or seen somewhere by the user.
- Confirmed: The vulnerability is confirmed from an analyst perspective.
- Exploited: This vulnerability was exploited and seen by the user reporting the sighting.
- Patched: This vulnerability was successfully patched by the user reporting the sighting.
- Not exploited: This vulnerability was not exploited or seen by the user reporting the sighting.
- Not confirmed: The user expresses doubt about the veracity of the vulnerability.
- Not patched: This vulnerability was not successfully patched by the user reporting the sighting.